README.md

---
license: cc-by-nc-nd-4.0
dataset_info:
- config_name: default
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 678202759.44
    num_examples: 27000
  - name: val
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    num_examples: 3000
  - name: test
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    num_examples: 7500
  download_size: 520788766
  dataset_size: 941948277.0
- config_name: email-corpus
  features:
  - name: file
    dtype: string
  - name: message
    dtype: string
  splits:
  - name: train
    num_bytes: 1424661264
    num_examples: 517401
  download_size: 606473179
  dataset_size: 1424661264
- config_name: indic-corpus
  features:
  - name: lang_id
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 242818701
    num_examples: 11
  download_size: 105665834
  dataset_size: 242818701
- config_name: wiki-topics
  features:
  - name: article
    dtype: string
  - name: category
    dtype: string
  - name: text
    dtype: string
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 338290047
    num_examples: 8000
  - name: test
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    num_examples: 2000
  download_size: 236620494
  dataset_size: 422900832
- config_name: Assignment-3-word2vec
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 310949152
    num_examples: 1801350
  - name: val
    num_bytes: 652699
    num_examples: 3760
  download_size: 311601851
  dataset_size: 311601851
- config_name: Assignment-3-naive-bayes
  features:
  - name: text
    dtype: string
  - name: category
    dtype: string
  splits:
  - name: train
    num_bytes: 690247310
    num_examples: 8000
  - name: test
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    num_examples: 2000
  download_size: 862123000
  dataset_size: 862123000
- config_name: Assignment-3-em
  features:
  - name: text
    dtype: string
  - name: category
    dtype: string
  splits:
  - name: train
    num_bytes: 683095685
    num_examples: 8000
  - name: test
    num_bytes: 171875690
    num_examples: 2000
  download_size: 854971375
  dataset_size: 854971375
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
- config_name: email-corpus
  data_files:
  - split: train
    path: email-corpus/train-*
- config_name: indic-corpus
  data_files:
  - split: train
    path: indic-corpus/train-*
- config_name: wiki-topics
  data_files:
  - split: train
    path: wiki-topics/train-*
  - split: test
    path: wiki-topics/test-*
- config_name: Assignment-3-word2vec
  data_files:
  - split: train
    path: Assignment-3/word2vec/train*
  - split: val
    path: Assignment-3/word2vec/validation*
- config_name: Assignment-3-naive-bayes
  data_files:
  - split: train
    path: Assignment-3/naive_bayes/train*
  - split: test
    path: Assignment-3/naive_bayes/test*
- config_name: Assignment-3-em
  data_files:
  - split: train
    path: Assignment-3/em/train*
  - split: test
    path: Assignment-3/em/test*
---
# CS779-Fall 2025 IIT-Kanpur
Instructor: Dr. Ashutosh Modi

## Assignment-3
There are 3 main tasks in Assignment-3:
1. Neural Network Implementation from Scratch for Word2Vec using Wikipedia Text
2. Naive Bayes Classifier for Topic classification on Wikipedia Articles
3. Expectation-Maximization Based clustering on Wikipedia Articles

The data can be fetched using the datasets API as follows:
```python
from datasets import load_dataset

# Word2Vec Dataset
word2vec_train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-word2vec", split="train")
word2vec_val = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-word2vec", split="val")

# Naive Bayes
naive_bayes_train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-naive-bayes", split="train")
naive_bayes_test = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-naive-bayes", split="test")

# Expectation-Maximization
em_train = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-em", split="train")
em_test = load_dataset("Exploration-Lab/CS779-Fall25", "Assignment-3-em", split="test")

```